Artificial Intelligence in Medical Imaging Market Size - Share Outlook, Growth Analysis Report and Forecast Trends (2026-2035)

The global artificial intelligence in medical imaging market was valued at USD 1.62 Billion in 2025. It is poised to grow at a CAGR of 22.50% during the forecast period of 2026-2035, and reach USD 12.33 Billion by 2035. The market growth is driven by rising demand for accurate diagnostics and workflow efficiency, driving adoption of AI solutions, particularly CT scan AI, in medical imaging.

Key Market Trends and Insights

• Based on application, the neurology segment held the largest market share of more than 37% during the historical period.
• Based on modalities, the CT scan segment dominated the market, accounting for over 34% share during the historical period.
• North America dominated the global industry during the historical period, accounting for the largest revenue share of approximately 43%.

Market Size and Forecast

• Market Size (2025): USD 1.62 Billion
• Projected Market Size (2035): USD 12.33 Billion
• CAGR (2026-2035): 22.50%

Artificial Intelligence in Medical Imaging Market Overview

Artificial Intelligence (AI) is transforming medical imaging by improving diagnostic accuracy, accelerating image analysis, and enabling personalized treatment planning. AI applications like CT scan AI, MRI reconstruction, and image segmentation streamline radiology workflow, reduce human errors, and enhance detection of subtle abnormalities. Advanced technologies, including deep learning imaging and noise reduction AI, are turning the game by making imaging faster, more precise, and increasingly predictive in patient care. The market reached a value of approximately USD 1.62 Billion in 2025.

Artificial Intelligence in Medical Imaging Market Growth Drivers

Strategic Innovations and AI Adoption in Medical Imaging

The market is being driven by rapid adoption of advanced AI technologies in diagnostics and workflow. In March 2026, Philips unveiled the AI-integrated Rembra CT platform at the European Congress of Radiology, offering high-resolution, dose-efficient scans with deep learning imaging enhancements. FDA clearances and strategic acquisitions, including Coreline Soft in 2025 and Gleamer’s purchase of Pixyl and Caerus Medical, are further accelerating adoption of CT scan AI and MRI reconstruction globally.

Artificial Intelligence in Medical Imaging Market Trends

Key trends shaping the market include AI-driven imaging, MRI reconstruction, workflow automation, and advanced diagnostics.

Strategic Acquisitions Expanding AI in Medical Imaging

Growing demand for faster, more accurate diagnostics is driving AI adoption in medical imaging. For instance, in October 2025, Gleamer acquired Pixyl and Caerus Medical to strengthen its AI-powered MRI capabilities. This strategic move expands multimodal imaging solutions, meeting rising clinical demand for advanced MRI imaging technology. By integrating cutting-edge AI technologies, the company enhances diagnostic accuracy, workflow efficiency, and early disease detection, reflecting a broader trend of consolidation and innovation driving growth in the market.

Artificial Intelligence in Medical Imaging Market Segmentation

Market Breakup by Component

• Software
• Services
• Hardware
• Processors
• Memory
• Others

Market Breakup by Modality

• Computed Tomography (CT)
• X-Ray
• Magnetic Resonance Imaging (MRI)
• Ultrasound
• Mammography
• Others

Market Breakup by Application

• Oncology
• Cardiology
• Neurology
• Gynecology
• Ophthalmology
• Others

Market Breakup by End User

• Hospitals
• Diagnostic Imaging Centers
• Others

Market Breakup by Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa

Artificial Intelligence in Medical Imaging Market Share

CT scan Expected to Dominate the Market Segment by Modalities

Based on modalities, the CT scan segment held the largest market share of over 34% during the historical period. This dominance is attributed to widespread adoption of AI-enhanced imaging solutions that improve diagnostic accuracy and speed. Technologies such as CT scan AI enable faster image processing, early disease detection, and improved clinical outcomes, making CT imaging a critical component in modern radiology practices globally.

Global Artificial Intelligence in Medical Imaging Market Analysis by Region

North America dominated the global industry during the historical period, accounting for the largest revenue share of approximately 43%. The region benefits from advanced healthcare infrastructure, high investment in digital health, and early adoption of innovative technologies. Increasing integration of AI solutions, particularly in radiology workflow, is enhancing operational efficiency, reducing diagnostic errors, and supporting the region’s continued leadership in the medical imaging market.

Leading Players in the Artificial Intelligence in Medical Imaging Market

The key features of the market report comprise patent analysis, funding and investment analysis and strategic initiatives by the leading players. The major companies in the market are as follows:

GE HealthCare

GE HealthCare, a global leader in medical technology and digital solutions, has significantly enhanced its role in the artificial intelligence in medical imaging market. In January 2025, it announced a strategic collaboration with Sutter Health. The multi-year partnership focuses on deploying advanced AI-powered imaging systems, including AIR™ Recon DL, Omni Legend PET/CT, StarGuide SPECT/CT, and Caption AI ultrasound, across more than 300 facilities, improving diagnostic accuracy, workflow efficiency, and patient access.

Microsoft Corporation

Microsoft Corporation is advancing artificial intelligence in medical imaging market through Project InnerEye, a research initiative under Microsoft Health Futures. The project focuses on AI-powered tools for the automated analysis of 3D medical images using Azure Machine Learning. Collaborations with institutions like Cambridge University Hospitals have led to innovations such as OSAIRIS, a cloud-based AI system that significantly reduces radiotherapy planning time, enhancing diagnostic efficiency and patient outcomes.

TEMPUS

TEMPUS is a technology-driven precision medicine company that plays a significant role in the market. It offers AI-enabled imaging solutions such as Tempus Pixel, tailored for oncology, radiology, lung, breast, and cardiac care. These solutions utilize advanced algorithms for automated lesion segmentation, quantification, and longitudinal tracking, enhancing diagnostic accuracy and clinical decision-making across over 100 health systems.

Butterfly Network, Inc.

Butterfly Network, Inc., a digital health company founded in 2011, is revolutionizing medical imaging through its AI-driven handheld ultrasound device, the Butterfly iQ+. In 2023, the company received FDA clearance for its AI-enabled Auto B-line Counter, designed to streamline lung assessments by using deep learning to detect B-lines in ultrasound images. This advancement strengthens Butterfly’s role in the global artificial intelligence in medical imaging market by offering faster, more accurate diagnostic tools at the point of care.

Other key players in the market are HeartFlow, Inc., Enlitic, Inc., Canon Medical Systems Corporation, Viz.ai, Inc., EchoNous, Inc., and Exo Imaging, Inc., among others.

Key Questions Answered in the Artificial Intelligence in Medical Imaging Market

• What was the artificial intelligence in medical imaging market value in 2025?
• What is the artificial intelligence in medical imaging market forecast outlook for 2026-2035?
• What major factors aid the demand for artificial intelligence in medical imaging market?
• How has the market performed so far, and how is it anticipated to perform in the coming years?
• What are the market’s major drivers, opportunities, and restraints?
• What are the major artificial intelligence in medical imaging market trends?
• Which component is expected to dominate the market segment?
• Which modality is projected to lead the market segment?
• Which application is likely to lead the market segment?
• Which end user is expected to dominate the market segment?
• Who are the key players in the artificial intelligence in medical imaging market?
• What are the current unmet needs and challenges in the market?
• How are partnerships, collaborations, mergers, and acquisitions among the key market players shaping the market dynamics?